Downloads news articles from an RSS feed, categorises them based on naive Bayesian classification, then prints to screen and emails.
Only articles not seen before are shown.
This project makes use of the awesome toolz library to organize everything as a pipeline of functions.
This is a personal project developed to process the Port News and Wauchope Gazette newspapers in Australia. XML/HTML tags and properties will be specific to those feeds, so you'll have to modify code for your particular feed. If there's interest, complain about this in an issue, and I'll make everything configurable.
It also only classifies articles as "news" or "sports".
Use download_article.py to download a particular article, based on URL, and
manually put the resulting file in either training_data/news or
training_data/sports dir.
pip install -r requirements.txt- Add your feed URLs and email to
feed_classifier.py - Configure your email server in
pipeline/mail_sender.py
Run feed_classifier.py, no arguments required.
pip install -r requirements_dev.txt
python -m pytest